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Determining optimal COVID-19 testing center locations and capacities
We study the problem of determining the locations and capacities of COVID-19 specimen collection centers to efficiently improve accessibility to...
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Testing coverage based software reliability assessment incorporating effort expenditure and error generation
Due to the complexity of software systems, the testing team may be unable to completely eliminate a problem after observing a failure and the...
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Bridging the Gap Between High-Performance Work System and Organizational Performance: Role of Organizational Agility, Transformational Leadership, and Human Resource Flexibility
This study emphasizes the significance of people management and strategic human resource management (SHRM) in sha** dynamic capabilities to promote...
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Pool testing with dilution effects and heterogeneous priors
The Dorfman pooled testing scheme is a process in which individual specimens (e.g., blood, urine, swabs, etc.) are pooled and tested together; if the...
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Stress testing for IInd pillar life-cycle pension funds using hidden Markov model
This paper presents a stress testing technique based on a hidden Markov regime switching model and scenario generations. Firstly, we assume that...
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An optimization framework for large-scale screening under limited testing capacity with application to COVID-19
We consider the problem of targeted mass screening of heterogeneous populations under limited testing capacity. Mass screening is an essential tool...
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The impact of sparsity and entropy criteria on neural network performance
We explore the impact of adding entropy and sparsity criteria to a standard neural network cost function, by considering a variety of network types...
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Testing re-optimisation strategies in international kidney exchange programmes by the ENCKEP simulator
We tested re-optimisation strategies for international kidney exchange programmes using the simulator developed by the ENCKEP COST Action. Kidney...
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Performance recovery of creative sector industries: strengthening management literacy and digital business innovation
This study examined the effect of strengthening management literacy on digital business innovation and accelerating performance recovery and examined...
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Can stakeholders evaluate corporate ESG performance through its ESG disclosure? A study of Thai listed firms
This study investigates whether Environmental, Social, and Governance (ESG) disclosure can be a predictor of ESG performance among Thai firms listed...
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Performance shortfall, institutional logic and firms’ tax avoidance
Based on the special background of transition economies, in which governments play a particularly important role in firms’ survival and development,...
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High-performance work systems and firm performance: the mediation effect of the quality of employee turnover
This study aims to investigate: (a) the differences in how human resource (HR) practice bundles, which enhance skills, motivation, and opportunities,...
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The effect of nonfinancial performance measures, absorptive capacity, and organizational learning on innovation performance
This study develops a conceptual model to examine the effect of nonfinancial performance measures on absorptive capacity, organizational learning,...
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Building Performance Simulation
Simulation is a proven technique that uses computational, mathematical, and machine learning models to represent the physical characteristics,...
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Network working capital management, supply chain concentration, and corporate performance of focal companies
Based on the logical chain of “network working capital management (hereinafter, NWCM) → supply chain concentration (hereinafter, SCC) → corporate...
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From Interpersonal Trust to Team Performance in App Design: Roles of Transactive Memory Systems and Social Ties
The studies examining how interpersonal trust at the dyadic individual level affects team performance in app design have been sparse. Drawing upon...
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Machine learning approach to packaging compatibility testing in the new product development process
The paper compares the effectiveness of selected machine learning methods as modelling tools supporting the selection of a packaging type in new...
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Simulating Fréchet Distribution Under Multiply Censored Partially Accelerated Life Testing
Accelerated life testing has now become the primary method for rapidly assessing product reliability and designing efficient test plans is a vital...
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Business Process Performance
Considering humans are involved in business process activities, process-oriented appraisals and rewards (POAR) can help stimulate process outcomes....
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Online performance and proactive maintenance assessment of data driven prediction models
Many Data-driven decisions in manufacturing need accurate and reliable predictions. Due to high complexity and variability of working conditions, a...
